"AI-powered" meaning: what should buyers ask?
Last reviewed May 23, 2026
AI-powered meaning searches usually hide a buyer review task: the page says AI, but the buyer still needs to know what the model does, where it appears in the workflow, and what user-visible benefit is supported.
Evidence buyers verify
- The exact AI descriptor and the sentence around it.
- A workflow map that names what AI does, what it does not do, and where a human reviews or acts.
- Feature evidence tied to a visible user benefit, not only a product architecture note.
Opens the checker for this claim type. Paste your vendor's exact wording there. Evidence questions only — not a blacklist or fraud detector. Not sure what a result looks like? See a sample receipt.
Sources this guide draws from
- · 13 Nov 2024
Official report page for the ASA/CAP AI marketing-term monitoring work.
- · November 2024
Source for AI-powered, AI-native, B2B, consumer-product, and capability claim examples.
Public claims with documented evidence gaps
"AI-powered"
Vague AI-powered- Source and date
- ASA/CAP AI as a Marketing Term report · November 2024
- Evidence signal
- AI label without a named feature, workflow step, or user-visible effect.
- Evidence gap
- A buyer needs the model role, input, output, decision point, and whether the benefit changes when AI is removed.
- Buyer question
- For the AI-powered claim, what exact task is performed by AI and what output does the user receive?
"The Best AI Accounting Solution"
First / Only / Best- Source and date
- ASA/CAP AI as a Marketing Term report · November 2024
- Evidence signal
- Best claim combined with an AI descriptor and no comparison universe.
- Evidence gap
- A buyer needs the comparison set, date checked, criteria for best, and evidence that AI materially affects the accounting workflow.
- Buyer question
- For the best AI accounting solution claim, what products were compared and which AI-enabled accounting task was measured?
"Power your business with built-in AI marketing tools"
Vague AI-powered- Source and date
- ASA/CAP AI as a Marketing Term report · November 2024
- Evidence signal
- Built-in AI benefit language without a task, data source, or measurable outcome.
- Evidence gap
- A buyer needs the AI feature list, where each feature appears in the workflow, required inputs, outputs, and limits.
- Buyer question
- For the built-in AI marketing tools claim, which marketing task changes and what evidence shows the tool improves it?
"Your personal AI-powered friend"
Vague AI-powered- Source and date
- ASA/CAP AI as a Marketing Term report · November 2024
- Evidence signal
- AI-native positioning with an implied role that may exceed the product boundary.
- Evidence gap
- A buyer needs the interaction scope, safety controls, escalation boundary, user notice, and limitation language.
- Buyer question
- For the AI-powered friend claim, what role is the product allowed to play and what boundaries are shown to users?
Match each claim pattern to the evidence buyers need
| Claim pattern | Evidence needed | Buyer question |
|---|---|---|
| AI-powered, AI-enabled, or built-in AI | Model role, input, output, workflow step, human review point, and user-visible benefit. | If the word AI is removed, what concrete capability remains in the claim? |
| AI-native product or agentic AI workflow | Autonomy boundary, trigger conditions, escalation path, logging, user notice, and unsupported tasks. | Which decisions can the AI take without a human step, and which decisions require review? |
| AI-first, enterprise AI-ready, or production-ready AI | Specific deployed workflow, customer environment, reliability evidence, security controls, support boundary, and excluded deployment contexts. | What makes the product AI-first or production-ready beyond a vague descriptor, and what deployment context was tested? |
| AI improves productivity, experience, performance, or cost | Baseline, measured workflow, sample size, metric definition, time frame, and customer segment. | What non-AI baseline shows the claimed improvement rather than normal workflow variation? |
| Best, most advanced, or next-generation AI | Comparison universe, criteria, date checked, third-party source, and update responsibility. | What comparison set supports the superiority wording at the date the claim was published? |
Evidence to request
- The exact AI descriptor and the sentence around it.
- A workflow map that names what AI does, what it does not do, and where a human reviews or acts.
- Feature evidence tied to a visible user benefit, not only a product architecture note.
- Benchmark or customer data if the AI descriptor is tied to better performance, lower cost, or productivity.
- Limitation wording for safety-sensitive, advisory, companion, healthcare, financial, or education use cases.
Questions to put in front of the vendor
- For this AI-powered claim, what task does AI perform: search, draft, classify, summarize, recommend, predict, or act?
- What input does the model use, and can the user see the source or reason behind the output?
- If the claim says AI-first, AI-native, enterprise AI-ready, or production-ready, which workflow, control, or reliability evidence makes that wording specific?
- Does the product make a measurable benefit claim, or is AI only a descriptor?
- Where does human review, user approval, or escalation happen before the output affects a real workflow?
- Which words should be replaced with a specific workflow description if the evidence does not support broad AI-powered wording?
Wording boundaries to compare against
- Uses an AI model to suggest draft summaries from selected source documents.
- AI assists the search workflow by ranking candidate results; users review sources before acting.
- Built-in AI tools draft first-pass campaign copy for human editing in specified channels.
- Agentic workflow executes defined low-risk steps after user approval and logs each action.
Frequently asked questions
- What does 'AI-powered' mean when a product uses it in advertising?
- In advertising, 'AI-powered' describes a product that uses some form of AI to perform one or more features. The term does not specify which AI, what task it performs, what input it takes, or what user-visible output it produces. The ASA/CAP November 2024 report found that many ads using 'AI-powered' do not explain what the AI actually does. The useful test for a buyer: if the words 'AI-powered' are removed, what specific capability remains in the claim?
- Is 'AI-powered' a substantiated claim under FTC or ASA rules?
- No, not on its own. 'AI-powered' without a named function, tested result, or user-visible benefit does not meet the FTC's substantiation standard for capability claims. The ASA/CAP has also advised UK advertisers to avoid implying AI capabilities that do not exist or cannot be demonstrated. The label needs to be accompanied by a description of what AI does, where it appears in the product workflow, and what evidence supports the claimed benefit.
- How is 'AI-native' different from 'AI-powered'?
- 'AI-native' typically implies that AI is a core architectural component of the product rather than a feature added on top. However, neither term carries a regulated definition. Both require the same evidence: which task the AI performs, what input it takes, what output the user receives, and where human review is still required. The key question for either label is whether removing the AI from the product would meaningfully change the result for the user.
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